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Comment · 2 years ago
Comment · 2 years ago
These projects are awesome to see, there are similar efforts for everquest. Is anyone aware of anyone trying to create different clients/renderers for these MMOs? A VR client for any of these worlds would instantly be amazing.
Comment · 3 years ago
Just to further this, it's not just 'big names' that feel this way. Read this paper from a team at Microsoft Research: https://arxiv.org/abs/2303.12712 . These folks spent months studying properties of GPT-4, that paper is ~150 pages of examples probing the boundaries of the model's world understanding. There is obviously some emergent complexity arising from the training procedure.
Comment · 3 years ago
This seems like (clearly?) bad journalism. RFID tags on their own are for sure not taking active sensor readings, that'd be left for something closer to TPMS style systems.
Comment · 3 years ago
Comment · 3 years ago
No, your OP is mistaken. The model weights have to all be accessed for the forward pass. What has happened is that using mmap changes where the memory is consumed (kernel vs process) and so it was being incorrectly interpreted. There are still 30B parameters, and you'll need that times however big your floating point representation is to use the model still.
Comment · 3 years ago
Ahh, this would do it, thanks :).
Comment · 3 years ago
That shouldn't be the case. 30B is a number that directly represents the size of the model, not the size of the other components.
Comment · 3 years ago
I also have this question, yes it should be. The forward pass should require accessing all the weights AFAIK.
Comment · 3 years ago
Does anyone know how/why this change decreases memory consumption (and isn't a bug in the inference code)?

From my understanding of the issue, mmap'ing the file is showing that inference is only accessing a fraction of the weight data.

Doesn't the forward pass necessitate accessing all the weights and not a fraction of them?

Comment · 3 years ago
So can we at least take a second to appreciate the orders of magnitude of growth between BBS' and tiktok? With data structures and algorithms we're very willing to accept that orders of magnitudes shifting can change our basic assumptions about things.

The point isn't that these things haven't existed in some form forever, it's that they're scaling to points where these effects are becoming increasingly dangerous, proportional to the growth of these systems.

Comment · 4 years ago
This thread is exposing one of the dirty realities of modern SEO. Most of the time, SEO folks will measure their success based on having some way of determining their ranking for a given search query.

The problem is that in 2022, google personalizes (aka re-ranks) the SERPs on enough dimensions (device type, location, user, etc) that a single mapping of search query -> ranking fails to capture any of the nuance that google is applying to their user understanding. I'm not sure how or when the SEO space will actually reckon with this, or if they'll keep just pushing poor 'visibility' metrics that can't actually be reduced to a single dimension.

Comment · 4 years ago
It's mostly a curiosity. Occasionally things like this occur: https://googleprojectzero.blogspot.com/2021/12/a-deep-dive-i... . TL;DR exploited an accidentally turing complete file format to execute instructions inside a virtual machine.
Comment · 4 years ago
For big organizations that have the capacity and data, online advertising becomes a ROI optimization game, and one that they perform quite well at.

For a random business that wants to advertise online, without the infrastructure and data capability to back it, they will struggle to compete unless they exist in a segment full of similar peers. When the former happens, we see articles about how PPC doesn't actually work, etc.

Reality is that it takes engineering work and infrastructure, coupled with some data capabilities to unlock real value in the online advertising space.

As noted, online advertising brought all sorts of insight and visibility over traditional 'offline' marketing channels, but with that comes more savvy competitors that will do all the data things you're not.

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